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Mads Nielsen

Showing results (81-90 of 109) with videos related to

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Breast Cancer Research : BCR|May 4, 2018
The combined effect of mammographic texture and density on breast cancer risk: a cohort studyJohanna O P Wanders, Carla H van Gils, Nico Karssemeijer, et al.
BMC Cardiovascular Disorders|November 12, 2010
Distribution, size, shape, growth potential and extent of abdominal aortic calcified deposits predict mortality in postmenopausal womenMads Nielsen, Melanie Ganz, Francois Lauze, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|November 30, 2007
Quantifying calcification in the lumbar aorta on X-ray imagesLars A Conrad-Hansen, Marleen de Bruijne, François Lauze, et al.
BMC Cancer|July 9, 2016
Mammographic density and structural features can individually and jointly contribute to breast cancer risk assessment in mammography screening: a case-control studyRikke Rass Winkel, My von Euler-Chelpin, Mads Nielsen, et al.
Journal of Medical Imaging (Bellingham, Wash.)|March 26, 2016
Deformation-based atrophy computation by surface propagation and its application to Alzheimer's diseaseAkshay Pai, Jon Sporring, Sune Darkner, et al.
American Journal of Obstetrics and Gynecology|September 13, 2025
The combined use of cervical ultrasound and deep learning improves the detection of patients at risk for spontaneous preterm deliveryEmilie P F Sejer, Paraskevas Pegios, Manxi Lin, et al.
European Journal of Radiology|May 13, 2025
Impact of spectrum bias on deep learning-based stroke MRI analysisChristian Hedeager Krag, Felix Christoph Müller, Karen Lind Gandrup, et al.
Arthritis Research & Therapy|July 28, 2009
Identification of progressors in osteoarthritis by combining biochemical and MRI-based markersErik B Dam, Marco Loog, Claus Christiansen, et al.
IEEE Transactions on Medical Imaging|February 26, 2016
Unsupervised Deep Learning Applied to Breast Density Segmentation and Mammographic Risk ScoringMichiel Kallenberg, Kersten Petersen, Mads Nielsen, et al.
Journal of Medical Screening|July 25, 2024
Introduction of one-view tomosynthesis in population-based mammography screening: Impact on detection rate, interval cancer rate and false-positive rateBolette Mikela Vilmun, George Napolitano, Martin Lillholm, et al.
Pageof 11

Showing results (81-90 of 109) with videos related to

Sort By:
Pageof 11
Breast Cancer Research : BCR|May 4, 2018
The combined effect of mammographic texture and density on breast cancer risk: a cohort studyJohanna O P Wanders, Carla H van Gils, Nico Karssemeijer, et al.
BMC Cardiovascular Disorders|November 12, 2010
Distribution, size, shape, growth potential and extent of abdominal aortic calcified deposits predict mortality in postmenopausal womenMads Nielsen, Melanie Ganz, Francois Lauze, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|November 30, 2007
Quantifying calcification in the lumbar aorta on X-ray imagesLars A Conrad-Hansen, Marleen de Bruijne, François Lauze, et al.
BMC Cancer|July 9, 2016
Mammographic density and structural features can individually and jointly contribute to breast cancer risk assessment in mammography screening: a case-control studyRikke Rass Winkel, My von Euler-Chelpin, Mads Nielsen, et al.
Journal of Medical Imaging (Bellingham, Wash.)|March 26, 2016
Deformation-based atrophy computation by surface propagation and its application to Alzheimer's diseaseAkshay Pai, Jon Sporring, Sune Darkner, et al.
American Journal of Obstetrics and Gynecology|September 13, 2025
The combined use of cervical ultrasound and deep learning improves the detection of patients at risk for spontaneous preterm deliveryEmilie P F Sejer, Paraskevas Pegios, Manxi Lin, et al.
European Journal of Radiology|May 13, 2025
Impact of spectrum bias on deep learning-based stroke MRI analysisChristian Hedeager Krag, Felix Christoph Müller, Karen Lind Gandrup, et al.
Arthritis Research & Therapy|July 28, 2009
Identification of progressors in osteoarthritis by combining biochemical and MRI-based markersErik B Dam, Marco Loog, Claus Christiansen, et al.
IEEE Transactions on Medical Imaging|February 26, 2016
Unsupervised Deep Learning Applied to Breast Density Segmentation and Mammographic Risk ScoringMichiel Kallenberg, Kersten Petersen, Mads Nielsen, et al.
Journal of Medical Screening|July 25, 2024
Introduction of one-view tomosynthesis in population-based mammography screening: Impact on detection rate, interval cancer rate and false-positive rateBolette Mikela Vilmun, George Napolitano, Martin Lillholm, et al.
Pageof 11